A Hotel Ranking Method Through Online Reviews Considering the Cultural Background of Reviewers

Jing Shi, Xiaoyi Du, Jian Wu and Yujia Liu
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Jing Shi: Shanghai Maritime University, China
Xiaoyi Du: Shanghai Maritime University, China
Jian Wu: Shanghai Maritime University, China
Yujia Liu: Shanghai Maritime University, China

International Journal of Fuzzy System Applications (IJFSA), 2025, vol. 14, issue 1, 1-29

Abstract: Online reviews are an important influencing factor in consumer purchasing decisions, and consumers' diverse cultural backgrounds affect the expression of online reviews as well as decision-making process. This study proposes an integrated ranking method through online reviews. Specifically, the study constructs a fraudulent review detection model to detect fraudulent reviews. Then introduces the Hofstede's national cultural framework and cultural distance theory to propose a method for calculating the weighted sentiment values of reviews, and interval-valued Pythagorean fuzzy sets are used for representation. Finally, the ranking function is improved by introducing a weight factor to aggregate the ratings and reviews, and obtain the hotel ranking. To validate the proposed method, a case study is conducted using real hotel reviews. The results show that this method provides a suitable and differentiated ranking of alternatives for consumers in specific countries. This paper also offers insights for online review websites and hotel managers.

Date: 2025
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